Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach. [PDF]
Sci RepDevi RR, Raja JE, Chin YB.
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Enhancing virtual physically unclonable function security through neuron-criticality analysis and lightweight encryption. [PDF]
Sci RepKhan R +4 more
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Transfer learning and AI technology for family school community collaborative model research in university network security management. [PDF]
Sci RepFeng Q, Chen Y.
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Tackling Hardware Trojans via Hardware-based Methodologies
Hardware Trojans (HTs) represent significant challenges to the security and reliability of modern microprocessorbased systems. This manuscript introduces two complementary approaches to enhance hardware security. First, programmable Hardware Security Modules are proposed to detect Hardware Trojan Horses by monitoring instruction-fetch activities ...
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Transfer learning with XAI for robust malware and IoT network security. [PDF]
Sci RepAlmadhor A +6 more
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Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Sci RepSaeed NH +3 more
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Process control block information dataset: Towards android malware detection. [PDF]
Data BriefAlawneh H, Alkofahi H.
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Image Super-Resolution Reconstruction Network Based on Structural Reparameterization and Feature Reuse. [PDF]
Sensors (Basel)Li T, Jin X, Liu Q, Liu X.
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OntoSecAI: Ontology-driven security automation for AI-enabled systems. [PDF]
PLoS OneUllah U, Haleem M, Ullah A.
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Tackling Hardware Trojan Horses via Hardware-based Methodologies
Hardware-based approaches to detect bit-flips, unauthorized program runs, and tampering.
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